MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4426
Single Precision Score
7473
Half Precision Score
5990
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
2425
451.0 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16941
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
28368
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21315
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.8 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2175
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
4108
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3926
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7337
56.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12994
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9220
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30511
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42398
54.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33004
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7824
288.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4923
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
