Mac16,7
Geekbench AI Score
5758
Single Precision Score
36563
Half Precision Score
49195
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | November 12 2024 10:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17662
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23710
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23309
377.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32335
524.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18867
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123409
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229611
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
19680
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24339
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44713
531.3 IPS |
|
|
Face Detection (Q)
|
100% |
56884
675.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8857
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105737
814.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177368
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35617
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233438
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302736
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7024
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46225
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78803
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4991
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4959
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16776
289.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16237
280.6 IPS |
