MacBook Pro (14-inch, 2024)
Geekbench AI Score
5798
Single Precision Score
37199
Half Precision Score
49549
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 12:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
17430
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22912
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23368
378.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32293
523.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18876
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123495
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230410
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
20073
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24054
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4627
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
44683
530.9 IPS |
|
|
Face Detection (Q)
|
100% |
63982
760.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8966
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109717
845.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176799
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35485
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237828
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302466
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7038
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46597
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78447
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5704
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4995
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5791
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16216
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16225
280.4 IPS |
