MacBook Pro M2 Max CPU (14-inch, 2023) MacBook Pro (14-inch, 2023)
Geekbench AI Score
4055
Single Precision Score
6832
Half Precision Score
5438
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasS |
| Upload Date | March 14 2026 11:20 AM |
| Views | 12 |
| Notes | 32 GB Ram. CPU Test |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2868
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12099
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26528
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20225
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.6 IPS |
|
|
Object Detection (HP)
|
97% |
2700
215.0 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5974
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3394
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6038
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11670
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8048
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24798
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39417
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31569
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4849
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6197
228.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4482
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4373
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7730
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7668
132.5 IPS |
