Mac16,13
Geekbench AI Score
4762
Single Precision Score
36899
Half Precision Score
52536
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 11:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
16941
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
25028
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21215
343.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30222
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9920
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122013
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229720
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
18653
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26465
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42747
507.9 IPS |
|
|
Face Detection (Q)
|
100% |
63030
748.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8553
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100222
772.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170028
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21300
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235191
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296877
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49849
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87348
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6889
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6853
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16532
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18291
316.1 IPS |
