MacBook Pro (16-inch, 2024)
Geekbench AI Score
5954
Single Precision Score
36329
Half Precision Score
49746
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | Abronzi |
| Upload Date | December 02 2024 08:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
17391
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
23656
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22550
365.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31365
508.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19254
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123105
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230516
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (HP)
|
100% |
19511
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23723
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
44344
526.9 IPS |
|
|
Face Detection (Q)
|
100% |
62130
738.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9041
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105377
811.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181049
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
36997
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232027
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297512
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45602
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78187
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6133
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16523
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16999
293.8 IPS |
