Mac16,1
Geekbench AI Score
4764
Single Precision Score
36534
Half Precision Score
51336
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 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
17287
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24024
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21942
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30183
489.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123283
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233198
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
18419
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26562
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43570
517.7 IPS |
|
|
Face Detection (Q)
|
100% |
61824
734.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99087
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168249
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25433
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232868
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296684
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49896
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84078
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5963
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18095
312.7 IPS |
