MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4756
Single Precision Score
7401
Half Precision Score
6366
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rehabaam |
| Upload Date | September 17 2024 03:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1502
279.3 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
99% |
2395
446.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16648
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28283
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
21109
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
97% |
2956
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2166
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6542
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3912
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13019
100.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13310
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30691
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43507
55.9 IPS |
|
|
Style Transfer (Q)
|
100% |
44244
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7648
282.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4947
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4680
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4738
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4759
82.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6968
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6928
119.7 IPS |
