MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4671
Single Precision Score
31136
Half Precision Score
34116
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 22 2025 09:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.94 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
16667
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
17871
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22795
369.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28255
458.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15721
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120156
140.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
118425
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
19231
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
18906
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
38730
460.2 IPS |
|
|
Face Detection (Q)
|
100% |
51075
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104669
806.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
124132
970.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30543
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
222017
285.4 IPS |
|
|
Style Transfer (Q)
|
96% |
211418
272.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5602
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45201
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51058
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4968
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5071
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4827
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5445
94.1 IPS |
