Mac16,10
Geekbench AI Score
9421
Single Precision Score
10971
Half Precision Score
10304
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bouresup |
| Upload Date | October 17 2025 12:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
4322
803.8 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.0 IPS |
|
|
Image Classification (Q)
|
96% |
4505
841.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7164
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7791
126.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7476
121.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26875
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29057
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
28894
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
4378
347.2 IPS |
|
|
Object Detection (HP)
|
100% |
4990
395.8 IPS |
|
|
Object Detection (Q)
|
92% |
4483
357.8 IPS |
|
|
Face Detection (SP)
|
100% |
11566
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
15573
185.0 IPS |
|
|
Face Detection (Q)
|
100% |
12569
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19648
151.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21230
163.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20151
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54771
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66460
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63244
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12284
453.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11991
442.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10597
391.3 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5397
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3377
58.4 IPS |
