MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19023
Single Precision Score
21439
Half Precision Score
19441
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Risto3 |
| Upload Date | April 19 2025 05:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7940
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8616
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
7699
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19684
319.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20684
335.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19584
317.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
91646
106.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
93345
108.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
91276
106.9 IPS |
|
|
Object Detection (SP)
|
100% |
7334
581.8 IPS |
|
|
Object Detection (HP)
|
100% |
9202
729.9 IPS |
|
|
Object Detection (Q)
|
92% |
7802
622.8 IPS |
|
|
Face Detection (SP)
|
100% |
32629
387.7 IPS |
|
|
Face Detection (HP)
|
100% |
36084
428.8 IPS |
|
|
Face Detection (Q)
|
100% |
30916
367.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38298
295.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40221
309.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37452
292.5 IPS |
|
|
Style Transfer (SP)
|
100% |
186164
239.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200526
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193042
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24440
902.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24989
922.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21870
807.6 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3806
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3056
52.8 IPS |
