Mac17,3
Geekbench AI Score
5246
Single Precision Score
41534
Half Precision Score
57454
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 03:40 AM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.2 IPS |
|
|
Image Classification (HP)
|
100% |
18612
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24425
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24423
395.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33366
540.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11298
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178528
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
335458
393.2 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
17823
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26125
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
46969
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
67549
802.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9108
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110791
853.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
173530
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
26866
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271756
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373204
481.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63522
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101209
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6567
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6733
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5103
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17907
308.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18410
318.1 IPS |
