MacBook Pro (16-inch, 2023)
Geekbench AI Score
4327
Single Precision Score
7188
Half Precision Score
5773
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 03 2026 09:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2898
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11981
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26555
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20514
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
97% |
2687
213.9 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6141
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3455
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6090
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11580
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8093
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25532
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40581
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32460
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4884
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6318
233.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4547
167.9 IPS |
|
|
Text Classification (SP)
|
100% |
4375
5.84 KIPS |
|
|
Text Classification (HP)
|
99% |
6601
8.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6580
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4341
74.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7762
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7770
134.3 IPS |
