Mac16,13
Geekbench AI Score
4903
Single Precision Score
7968
Half Precision Score
6377
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kameit00 |
| Upload Date | September 25 2025 08:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.4 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3474
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19365
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16588
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
4204
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7360
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4363
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13928
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9775
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23577
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38579
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31599
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7910
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7965
137.6 IPS |
