MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
20542
Single Precision Score
23212
Half Precision Score
21325
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | thehighrollah |
| Upload Date | February 09 2026 08:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.83 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8234
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
9513
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
8280
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20516
332.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21498
348.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20453
331.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
89600
104.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
96899
113.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
94884
111.1 IPS |
|
|
Object Detection (SP)
|
100% |
8394
665.8 IPS |
|
|
Object Detection (HP)
|
100% |
8859
702.7 IPS |
|
|
Object Detection (Q)
|
92% |
8287
661.5 IPS |
|
|
Face Detection (SP)
|
100% |
34661
411.9 IPS |
|
|
Face Detection (HP)
|
100% |
39963
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
33270
395.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39941
307.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42025
323.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
36959
288.7 IPS |
|
|
Style Transfer (SP)
|
100% |
186522
239.8 IPS |
|
|
Style Transfer (HP)
|
100% |
208450
268.0 IPS |
|
|
Style Transfer (Q)
|
96% |
203400
262.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26170
966.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26389
974.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22121
816.8 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4939
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5299
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5478
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5345
92.4 IPS |
