MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3852
Single Precision Score
5388
Half Precision Score
4485
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 02:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (Q)
|
99% |
2030
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1433
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8577
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16515
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14384
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
97% |
2470
196.6 IPS |
|
|
Object Detection (Q)
|
94% |
1936
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3345
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6765
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9756
75.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4653
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19829
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29873
38.4 IPS |
|
|
Style Transfer (Q)
|
100% |
29541
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4149
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4590
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4763
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4650
80.4 IPS |
