MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4817
Single Precision Score
7427
Half Precision Score
5943
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 10:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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% |
1496
278.2 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2737
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3385
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16666
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28750
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21821
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2174
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
6544
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3935
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7376
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12816
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8931
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31147
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43780
56.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32970
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7707
284.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4690
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4642
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6940
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7030
121.5 IPS |
