Mac17,3
Geekbench AI Score
5527
Single Precision Score
41577
Half Precision Score
59062
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mnin |
| Upload Date | March 25 2026 03:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
18506
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
26519
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24161
391.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
35015
567.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
178266
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328730
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
18100
1.44 KIPS |
|
|
Object Detection (Q)
|
89% |
27937
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
5015
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
48873
580.7 IPS |
|
|
Face Detection (Q)
|
100% |
74955
890.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8754
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110181
848.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
188412
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
25137
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272965
350.9 IPS |
|
|
Style Transfer (Q)
|
96% |
344889
445.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63263
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98294
3.63 KIPS |
|
|
Text Classification (SP)
|
99% |
6041
8.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6481
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6618
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17755
305.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19119
330.4 IPS |
