Mac17,2
Geekbench AI Score
4754
Single Precision Score
42539
Half Precision Score
60001
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 02:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (HP)
|
100% |
19415
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
27285
5.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24709
400.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33625
545.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9541
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
169323
197.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
314319
368.4 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
20179
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
27527
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
46437
551.8 IPS |
|
|
Face Detection (Q)
|
100% |
66732
792.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7988
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109348
842.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
187442
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
20064
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
262754
337.8 IPS |
|
|
Style Transfer (Q)
|
96% |
370173
477.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62192
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104635
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
7596
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
7925
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (HP)
|
100% |
18784
323.6 IPS |
|
|
Machine Translation (Q)
|
98% |
19845
342.9 IPS |
