MacBook Pro (16-inch, 2024)
Geekbench AI Score
5933
Single Precision Score
37710
Half Precision Score
51579
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 24 2024 10:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
18453
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24231
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23030
373.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32212
522.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19194
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122963
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231829
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
20634
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25714
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
43531
517.2 IPS |
|
|
Face Detection (Q)
|
100% |
63805
758.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8862
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110143
848.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179290
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37005
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232133
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297995
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7188
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46577
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79374
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6252
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6018
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17165
295.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16932
292.6 IPS |
