MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4421
Single Precision Score
7410
Half Precision Score
6390
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 13 2024 11:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.7 IPS |
|
|
Image Classification (Q)
|
99% |
2427
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16748
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28750
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
21141
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.8 IPS |
|
|
Object Detection (HP)
|
97% |
2940
234.0 IPS |
|
|
Object Detection (Q)
|
94% |
2189
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
4074
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3966
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13162
101.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13221
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30531
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42488
54.6 IPS |
|
|
Style Transfer (Q)
|
100% |
42382
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7560
279.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5073
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4649
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4683
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7027
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
