MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4716
Single Precision Score
7786
Half Precision Score
6124
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 01:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.65 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14585
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29495
34.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22888
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
97% |
3103
247.0 IPS |
|
|
Object Detection (Q)
|
94% |
2212
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
4111
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7035
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3977
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7221
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12888
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9006
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31729
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48704
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37111
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7913
292.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4689
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7970
137.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8066
139.4 IPS |
