Mac16,11
Geekbench AI Score
5778
Single Precision Score
37965
Half Precision Score
51917
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hurui |
| Upload Date | November 28 2024 03:31 AM |
| Views | 10 |
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 | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
18658
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
24499
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23382
379.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33643
545.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18747
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124567
145.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228944
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
21659
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
25333
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4485
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
44913
533.7 IPS |
|
|
Face Detection (Q)
|
100% |
66583
791.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8904
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113089
871.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
181318
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35732
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239973
308.5 IPS |
|
|
Style Transfer (Q)
|
96% |
307899
397.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47133
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84060
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16974
292.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17183
296.9 IPS |
