Mac16,8
Geekbench AI Score
5353
Single Precision Score
8959
Half Precision Score
7469
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3016
560.8 IPS |
|
|
Image Classification (Q)
|
99% |
3033
565.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17034
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31171
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23081
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7912
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4595
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14163
109.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
13858
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25520
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49814
64.0 IPS |
|
|
Style Transfer (Q)
|
100% |
48663
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10132
374.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5636
208.8 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5191
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5650
97.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9079
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9206
159.1 IPS |
