MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4684
Single Precision Score
7558
Half Precision Score
6158
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | February 14 2026 05:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
2492
463.5 IPS |
|
|
Image Classification (Q)
|
96% |
1861
347.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15651
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29696
34.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23297
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
1879
149.1 IPS |
|
|
Object Detection (HP)
|
97% |
2837
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
2200
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
6846
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7183
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13186
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8664
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31025
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45714
58.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36607
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4990
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5082
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7246
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7598
131.3 IPS |
