Mac16,7
Geekbench AI Score
5767
Single Precision Score
36271
Half Precision Score
49185
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 11:03 AM |
| Views | 4 |
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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
17490
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22431
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23146
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32090
520.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18889
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123433
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230105
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
19638
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23852
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
44709
531.2 IPS |
|
|
Face Detection (Q)
|
100% |
63742
757.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8810
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105702
814.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177370
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35465
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237408
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301219
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45877
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77964
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4887
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16238
279.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16164
279.3 IPS |
