MacBook Pro (14-inch, 2023)
Geekbench AI Score
3764
Single Precision Score
5965
Half Precision Score
4916
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 02:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.34 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
96% |
1587
296.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2396
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9685
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25314
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19069
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2530
201.4 IPS |
|
|
Object Detection (Q)
|
94% |
1820
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5584
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
2898
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5927
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10096
78.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7144
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17792
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32794
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25662
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6581
243.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4484
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6447
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6593
113.9 IPS |
