MacBook Pro (16-inch, 2023)
Geekbench AI Score
4362
Single Precision Score
7297
Half Precision Score
5891
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Itzamna |
| Upload Date | March 26 2026 10:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (Q)
|
96% |
1706
318.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2551
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3000
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11769
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26237
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
20588
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
2032
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
6206
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3587
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6137
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11626
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8160
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25543
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41673
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32890
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
4589
6.12 KIPS |
|
|
Text Classification (HP)
|
99% |
7239
9.66 KIPS |
|
|
Text Classification (Q)
|
92% |
7208
9.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7786
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7799
134.8 IPS |
