MacBook Pro (16-inch, 2023)
Geekbench AI Score
4104
Single Precision Score
6960
Half Precision Score
5525
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | October 15 2025 02:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (Q)
|
96% |
1693
316.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12207
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26458
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20670
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
2786
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3512
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6080
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11824
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8222
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40728
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32554
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6265
231.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4266
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7798
134.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
