MacBook Pro (14-inch, 2023)
Geekbench AI Score
4212
Single Precision Score
27267
Half Precision Score
30284
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Qiguanjiachen |
| Upload Date | June 11 2025 04:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14865
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
17141
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20146
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24198
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12982
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105976
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104733
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
99% |
15735
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17488
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
36350
431.9 IPS |
|
|
Face Detection (Q)
|
100% |
46808
556.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6266
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88850
684.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111581
872.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26167
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203458
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193430
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43450
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50416
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4584
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3997
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4219
72.9 IPS |
