MacBook Pro (16-inch, 2024)
Geekbench AI Score
5962
Single Precision Score
36301
Half Precision Score
49165
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChrisCalderon |
| Upload Date | January 13 2025 10:15 AM |
| 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% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
17464
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22060
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22690
367.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31316
507.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19225
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123312
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231331
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
19532
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23878
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
44414
527.7 IPS |
|
|
Face Detection (Q)
|
100% |
61821
734.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8996
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109994
847.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176931
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
36886
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232716
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296238
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44906
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77327
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5050
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16151
278.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16199
279.9 IPS |
