Mac16,13
Geekbench AI Score
2699
Single Precision Score
22083
Half Precision Score
31159
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 03:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1138
211.6 IPS |
|
|
Image Classification (HP)
|
100% |
11763
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
16657
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13220
214.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17206
278.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5526
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
67489
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
126492
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
12271
973.4 IPS |
|
|
Object Detection (Q)
|
91% |
16400
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
26393
313.6 IPS |
|
|
Face Detection (Q)
|
100% |
35778
425.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4550
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60932
469.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103828
811.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12933
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
148737
191.2 IPS |
|
|
Style Transfer (Q)
|
96% |
214336
276.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33927
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55665
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3217
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8161
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10179
175.9 IPS |
