MacBook Pro (16-inch, 2024)
Geekbench AI Score
5585
Single Precision Score
37982
Half Precision Score
51630
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cordyceps |
| Upload Date | May 05 2025 05:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
18235
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
23340
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23627
383.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
34073
552.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17904
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122208
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230492
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (HP)
|
100% |
19891
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
25656
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
43275
514.2 IPS |
|
|
Face Detection (Q)
|
100% |
56573
672.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8825
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112194
864.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179747
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26361
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234420
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
306695
395.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46851
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82430
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6562
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6422
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6155
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17053
293.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17337
299.6 IPS |
