Mac17,3
Geekbench AI Score
5273
Single Precision Score
41855
Half Precision Score
58220
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 03:07 PM |
| Views | 5 |
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% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
18420
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24578
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24040
389.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33323
540.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10954
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177637
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
329491
386.2 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18545
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27394
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47183
560.6 IPS |
|
|
Face Detection (Q)
|
100% |
66957
795.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9139
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111552
859.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
183971
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27556
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271148
348.6 IPS |
|
|
Style Transfer (Q)
|
96% |
374023
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65556
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102301
3.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6703
8.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6902
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18038
310.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18608
321.6 IPS |
