Mac16,7
Geekbench AI Score
5768
Single Precision Score
36595
Half Precision Score
49113
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | November 12 2024 10:25 AM |
| Views | 2 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17314
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22189
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23201
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32492
526.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18798
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123367
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231712
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
19843
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23573
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
44027
523.1 IPS |
|
|
Face Detection (Q)
|
100% |
61858
735.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112163
864.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177404
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35612
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237602
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303559
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46197
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77724
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4969
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16264
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16206
280.1 IPS |
