MacBook Pro (16-inch, 2024)
Geekbench AI Score
5716
Single Precision Score
37749
Half Precision Score
49816
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 10:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
17950
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23157
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23233
376.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32418
525.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18744
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123728
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231189
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
20513
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24117
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
43854
521.1 IPS |
|
|
Face Detection (Q)
|
100% |
55709
661.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112239
864.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179736
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35428
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238412
306.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303156
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47140
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79778
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5629
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16578
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16514
285.4 IPS |
