MacBook Pro (16-inch, 2024)
Geekbench AI Score
19303
Single Precision Score
21380
Half Precision Score
18388
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9225
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9748
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
8155
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16375
265.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17594
285.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18296
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
80553
94.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83618
97.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
78819
92.4 IPS |
|
|
Object Detection (SP)
|
100% |
8606
682.6 IPS |
|
|
Object Detection (HP)
|
100% |
9685
768.2 IPS |
|
|
Object Detection (Q)
|
91% |
8036
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
34125
405.5 IPS |
|
|
Face Detection (HP)
|
100% |
35415
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
27846
330.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
42210
325.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43608
336.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
37371
292.1 IPS |
|
|
Style Transfer (SP)
|
100% |
184930
237.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203438
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188063
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26745
987.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27239
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21729
802.3 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2075
35.9 IPS |
