Mac17,3
Geekbench AI Score
5279
Single Precision Score
41386
Half Precision Score
57787
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 05:52 PM |
| Views | 12 |
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% |
2277
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
18445
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
25354
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23958
388.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32655
529.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11342
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176919
206.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
328693
385.2 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
18830
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26381
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46989
558.3 IPS |
|
|
Face Detection (Q)
|
100% |
66240
787.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110524
851.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
184045
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27329
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
269781
346.8 IPS |
|
|
Style Transfer (Q)
|
96% |
372184
480.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63495
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101007
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6382
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6659
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17638
303.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18953
327.5 IPS |
