MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4830
Single Precision Score
30929
Half Precision Score
33865
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jschmitt3 |
| Upload Date | March 15 2025 04:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
16726
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
18269
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22039
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27598
447.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16715
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120472
140.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
119030
139.5 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
19086
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
19091
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
38469
457.1 IPS |
|
|
Face Detection (Q)
|
100% |
49732
590.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7466
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101967
785.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
128501
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
31109
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
221033
284.1 IPS |
|
|
Style Transfer (Q)
|
96% |
210726
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45300
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53166
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5082
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4648
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4816
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4735
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5204
89.9 IPS |
