Mac16,1
Geekbench AI Score
4690
Single Precision Score
7720
Half Precision Score
6696
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | oflorent |
| Upload Date | March 20 2025 09:36 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 4.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.3 IPS |
|
|
Image Classification (Q)
|
99% |
3277
611.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3172
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9695
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19233
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16215
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2371
188.1 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
4042
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7049
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
4199
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14396
111.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
14402
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20394
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38228
49.1 IPS |
|
|
Style Transfer (Q)
|
100% |
38314
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5945
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4971
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5219
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6811
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
