MacBook Pro (16-inch, 2024)
Geekbench AI Score
21594
Single Precision Score
23825
Half Precision Score
21377
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:10 PM |
| Views | 3 |
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, 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% |
9980
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10451
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
8589
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19162
310.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20115
326.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20969
339.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106670
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109706
128.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103203
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
9009
714.6 IPS |
|
|
Object Detection (HP)
|
100% |
9995
792.8 IPS |
|
|
Object Detection (Q)
|
91% |
8655
691.6 IPS |
|
|
Face Detection (SP)
|
100% |
39152
465.2 IPS |
|
|
Face Detection (HP)
|
100% |
40437
480.5 IPS |
|
|
Face Detection (Q)
|
100% |
31330
372.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43931
338.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46375
357.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39372
307.7 IPS |
|
|
Style Transfer (SP)
|
100% |
218508
280.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239014
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
216479
279.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30604
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30843
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25190
930.2 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3480
60.1 IPS |
