Mac16,13
Geekbench AI Score
8823
Single Precision Score
10250
Half Precision Score
10416
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 07:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4364
811.5 IPS |
|
|
Image Classification (HP)
|
100% |
4742
881.8 IPS |
|
|
Image Classification (Q)
|
96% |
4468
834.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7080
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7678
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7578
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27679
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29712
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29377
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
5118
405.9 IPS |
|
|
Object Detection (Q)
|
92% |
4743
378.6 IPS |
|
|
Face Detection (SP)
|
100% |
12456
148.0 IPS |
|
|
Face Detection (HP)
|
100% |
15736
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
13156
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20266
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21859
168.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20159
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56929
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65620
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64309
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11736
433.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11447
422.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10306
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3389
58.6 IPS |
