Mac16,7
Geekbench AI Score
5789
Single Precision Score
36752
Half Precision Score
49844
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 09:06 PM |
| Views | 65 |
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% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
17271
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21980
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23169
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32335
524.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18865
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123443
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230926
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19780
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23882
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4591
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
44664
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
63766
757.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8941
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110835
853.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178518
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35924
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238013
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
305017
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47829
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77706
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5776
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16316
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16187
279.7 IPS |
