Mac17,3
Geekbench AI Score
5244
Single Precision Score
42218
Half Precision Score
59420
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 17 2026 03:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (HP)
|
100% |
19125
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
27420
5.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24022
389.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33721
546.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10866
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
178932
208.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
334427
392.0 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18745
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26992
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47290
561.9 IPS |
|
|
Face Detection (Q)
|
100% |
67412
801.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9000
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111716
860.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
184904
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27036
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
273672
351.8 IPS |
|
|
Style Transfer (Q)
|
96% |
375782
484.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64329
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105177
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
6985
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
7116
9.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5025
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17969
309.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18755
324.1 IPS |
