MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4678
Single Precision Score
7613
Half Precision Score
6116
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 04:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1476
274.5 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.5 IPS |
|
|
Image Classification (Q)
|
96% |
1840
343.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15662
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29648
34.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23279
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
1893
150.1 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2177
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6815
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13303
102.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8826
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30730
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46821
60.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36583
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4893
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4675
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7543
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7549
130.5 IPS |
