Mac16,7
Geekbench AI Score
5747
Single Precision Score
36892
Half Precision Score
50442
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Capitola |
| Upload Date | November 10 2024 05:12 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17886
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22475
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23209
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32222
522.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18902
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123364
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231427
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
20690
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
24727
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44974
534.4 IPS |
|
|
Face Detection (Q)
|
100% |
64458
765.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8696
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106368
819.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180898
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35569
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237593
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
307793
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47684
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79778
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5001
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5725
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16263
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16217
280.3 IPS |
