MacBook Pro (16-inch, 2024)
Geekbench AI Score
21581
Single Precision Score
23879
Half Precision Score
21318
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 10:21 PM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9981
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10148
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
8455
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19277
312.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20856
338.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21166
343.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
108050
126.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
109348
127.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103650
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
8994
713.4 IPS |
|
|
Object Detection (HP)
|
100% |
10026
795.3 IPS |
|
|
Object Detection (Q)
|
91% |
8566
684.5 IPS |
|
|
Face Detection (SP)
|
100% |
39070
464.2 IPS |
|
|
Face Detection (HP)
|
100% |
39697
471.7 IPS |
|
|
Face Detection (Q)
|
100% |
29809
354.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44060
339.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46538
358.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
39638
309.8 IPS |
|
|
Style Transfer (SP)
|
100% |
222115
285.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239395
307.7 IPS |
|
|
Style Transfer (Q)
|
96% |
217271
280.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29570
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31558
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25126
927.8 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3547
61.3 IPS |
