Mac16,7
Geekbench AI Score
5754
Single Precision Score
36062
Half Precision Score
48594
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
17473
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22254
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23091
374.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31945
517.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18915
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123104
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230662
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19053
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23054
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4595
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
44155
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
63305
752.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110887
854.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
175560
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35804
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237803
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302447
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6979
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45247
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79041
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5727
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15581
268.4 IPS |
|
|
Machine Translation (Q)
|
98% |
15568
269.0 IPS |
