MacBook Pro (14-inch, 2024)
Geekbench AI Score
12668
Single Precision Score
14263
Half Precision Score
12567
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 12:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7013
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7333
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6273
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10560
171.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11231
182.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11348
184.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45206
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48250
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45762
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6736
534.3 IPS |
|
|
Object Detection (HP)
|
100% |
7322
580.8 IPS |
|
|
Object Detection (Q)
|
91% |
6056
483.9 IPS |
|
|
Face Detection (SP)
|
100% |
23561
280.0 IPS |
|
|
Face Detection (HP)
|
100% |
25417
302.0 IPS |
|
|
Face Detection (Q)
|
100% |
18666
221.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30901
238.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32971
254.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
26921
210.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104452
134.3 IPS |
|
|
Style Transfer (HP)
|
100% |
113593
146.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106777
137.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16458
607.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17595
649.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13779
508.8 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5190
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1298
22.4 IPS |
