Mac16,8
Geekbench AI Score
5765
Single Precision Score
38209
Half Precision Score
50549
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | notakaos |
| Upload Date | November 25 2024 04:45 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
18570
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
23243
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23105
374.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32721
530.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18868
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123146
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231575
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
20578
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25103
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
44723
531.4 IPS |
|
|
Face Detection (Q)
|
100% |
53618
637.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8822
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110910
854.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
182382
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
35130
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237919
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301332
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46260
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79422
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6747
9.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5755
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16561
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17049
294.6 IPS |
