MacBook Pro (16-inch, 2024)
Geekbench AI Score
19465
Single Precision Score
21659
Half Precision Score
19390
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 06:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9165
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
9620
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
8398
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17008
275.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18197
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18367
297.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80517
94.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83687
97.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
78996
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
8648
686.0 IPS |
|
|
Object Detection (HP)
|
100% |
9522
755.3 IPS |
|
|
Object Detection (Q)
|
91% |
8167
652.6 IPS |
|
|
Face Detection (SP)
|
100% |
34020
404.2 IPS |
|
|
Face Detection (HP)
|
100% |
36015
427.9 IPS |
|
|
Face Detection (Q)
|
100% |
27840
330.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42211
325.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44641
343.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37506
293.1 IPS |
|
|
Style Transfer (SP)
|
100% |
185467
238.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203375
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190650
246.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27429
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27909
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22395
826.9 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3132
54.1 IPS |
