MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4794
Single Precision Score
7531
Half Precision Score
6081
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1526
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3319
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16677
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28491
33.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22041
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
97% |
2836
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
2158
172.0 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6417
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
3947
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7280
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12851
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9089
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30641
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45036
57.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34109
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7950
293.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5137
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
2849
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4727
81.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7471
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7505
129.7 IPS |
