MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19704
Single Precision Score
21717
Half Precision Score
20743
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jms_ch |
| Upload Date | June 09 2025 03:37 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8457
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8808
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
8294
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20278
328.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20505
332.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20013
324.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
93867
109.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95882
111.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
91122
106.7 IPS |
|
|
Object Detection (SP)
|
100% |
8276
656.4 IPS |
|
|
Object Detection (HP)
|
100% |
8920
707.6 IPS |
|
|
Object Detection (Q)
|
92% |
8345
666.1 IPS |
|
|
Face Detection (SP)
|
100% |
32515
386.3 IPS |
|
|
Face Detection (HP)
|
100% |
37920
450.6 IPS |
|
|
Face Detection (Q)
|
100% |
32199
382.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40642
313.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42963
331.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39482
308.4 IPS |
|
|
Style Transfer (SP)
|
100% |
194376
249.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202108
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
200717
259.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26110
964.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26701
985.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23619
872.1 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3608
62.4 IPS |
