Mac16,8
Geekbench AI Score
5760
Single Precision Score
37358
Half Precision Score
50040
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 05:03 PM |
| 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 | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
18500
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
22235
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23174
375.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32980
534.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18906
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123260
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230846
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
20140
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23997
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44624
530.2 IPS |
|
|
Face Detection (Q)
|
100% |
61179
726.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8846
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111804
861.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177289
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35328
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
238219
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301181
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46145
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78944
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5743
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16769
288.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16365
282.8 IPS |
