MacBook Pro M4 MacBook Pro (14-inch, 2024)
Geekbench AI Score
4664
Single Precision Score
37659
Half Precision Score
53479
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ndelettre |
| Upload Date | December 07 2024 02:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
18773
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
29527
5.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21430
347.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30053
487.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9974
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124023
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232792
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
19122
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26962
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
43264
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
57734
686.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7984
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99837
769.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172270
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25211
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234689
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296332
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49632
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93722
3.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
7680
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
7185
9.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15562
268.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17314
299.2 IPS |
