Mac16,8
Geekbench AI Score
14811
Single Precision Score
16549
Half Precision Score
12958
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6939
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7554
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
7263
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12218
198.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12852
208.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
12896
209.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
46045
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47416
55.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
45205
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
6428
509.8 IPS |
|
|
Object Detection (HP)
|
100% |
7060
560.0 IPS |
|
|
Object Detection (Q)
|
92% |
6488
517.9 IPS |
|
|
Face Detection (SP)
|
100% |
23436
278.5 IPS |
|
|
Face Detection (HP)
|
100% |
25543
303.5 IPS |
|
|
Face Detection (Q)
|
100% |
21185
251.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30797
237.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31650
243.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
4677
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
104716
134.6 IPS |
|
|
Style Transfer (HP)
|
100% |
110387
141.9 IPS |
|
|
Style Transfer (Q)
|
100% |
110141
141.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16801
620.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17384
641.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14758
546.8 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5160
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5110
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5534
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5925
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5904
102.0 IPS |
