Mac16,13
Geekbench AI Score
9199
Single Precision Score
11262
Half Precision Score
9725
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4522
841.0 IPS |
|
|
Image Classification (HP)
|
100% |
4951
920.8 IPS |
|
|
Image Classification (Q)
|
96% |
4401
821.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7089
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7663
124.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7628
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27041
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31015
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30106
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
5209
413.2 IPS |
|
|
Object Detection (Q)
|
92% |
4745
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
12444
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
16685
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13337
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19821
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22200
171.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
19971
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55410
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67068
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65334
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11425
421.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11623
429.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10196
376.5 IPS |
|
|
Text Classification (SP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5823
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1542
26.6 IPS |
