Mac16,7
Geekbench AI Score
15113
Single Precision Score
16906
Half Precision Score
15015
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 10:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7268
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7589
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6444
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11921
193.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12865
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13176
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56659
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59029
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55862
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7060
560.0 IPS |
|
|
Object Detection (HP)
|
100% |
7498
594.7 IPS |
|
|
Object Detection (Q)
|
91% |
6302
503.6 IPS |
|
|
Face Detection (SP)
|
100% |
25636
304.6 IPS |
|
|
Face Detection (HP)
|
100% |
27611
328.1 IPS |
|
|
Face Detection (Q)
|
100% |
20071
238.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33010
254.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36084
278.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29334
229.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123017
158.1 IPS |
|
|
Style Transfer (HP)
|
100% |
133875
172.1 IPS |
|
|
Style Transfer (Q)
|
96% |
126349
163.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22017
813.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23494
867.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18763
692.8 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4927
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4903
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2849
49.2 IPS |
