Mac17,2
Geekbench AI Score
5305
Single Precision Score
42020
Half Precision Score
57921
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | redcasval |
| Upload Date | February 18 2026 01:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
18366
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24411
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24068
390.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33319
540.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10973
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177892
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333108
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
18429
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26715
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
46751
555.5 IPS |
|
|
Face Detection (Q)
|
100% |
66512
790.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111101
856.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
182184
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27678
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271740
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
372926
481.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5881
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65930
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100758
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
7167
9.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6974
9.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17758
305.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18492
319.6 IPS |
