MacBook Pro M2 Pro Neural (14-inch, 2023) MacBook Pro (14-inch, 2023)
Geekbench AI Score
4086
Single Precision Score
26922
Half Precision Score
30108
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasS |
| Upload Date | March 14 2026 11:26 AM |
| Views | 13 |
| Notes | 32GB Ram, Neural test |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
15349
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
19098
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20231
328.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25172
408.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12143
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106506
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105572
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
99% |
16199
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17970
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
36297
431.3 IPS |
|
|
Face Detection (Q)
|
100% |
46882
557.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88875
684.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112443
878.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25215
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206403
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192102
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45133
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52021
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.5 IPS |
