Mac16,11
Geekbench AI Score
5693
Single Precision Score
37046
Half Precision Score
49476
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 02:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
17746
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22920
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23088
374.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32109
520.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18683
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122680
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228421
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
19611
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24355
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4432
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
43950
522.2 IPS |
|
|
Face Detection (Q)
|
100% |
54200
644.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8677
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107492
828.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177701
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35385
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237278
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300424
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7024
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46641
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77651
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5667
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5537
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16281
280.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16860
291.4 IPS |
