Mac16,13
Geekbench AI Score
4957
Single Precision Score
36177
Half Precision Score
51466
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 07:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
17254
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
26440
4.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21615
350.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30791
499.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122446
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232905
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
17964
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26133
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4351
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
42983
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
60233
715.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99251
764.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163646
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24295
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232337
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319941
412.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50938
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82299
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18061
312.1 IPS |
