Mac16,9
Geekbench AI Score
5548
Single Precision Score
38849
Half Precision Score
53377
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 12 2025 04:14 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2108
392.0 IPS |
|
|
Image Classification (HP)
|
100% |
19203
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
24861
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23608
382.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
34201
554.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17622
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123475
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228036
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
21505
1.71 KIPS |
|
|
Object Detection (Q)
|
91% |
25712
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
45452
540.1 IPS |
|
|
Face Detection (Q)
|
100% |
69456
825.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8685
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111936
862.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
183650
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
26398
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234318
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
306265
395.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47294
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84170
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6597
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6520
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17491
301.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17565
303.5 IPS |
