MacBook Pro (14-inch, 2024)
Geekbench AI Score
5775
Single Precision Score
36596
Half Precision Score
49188
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JTechEV22 |
| Upload Date | January 03 2025 05:13 PM |
| Views | 11 |
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 (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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
17616
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23447
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23284
377.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32107
520.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18880
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123149
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230337
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
20023
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23856
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44437
528.0 IPS |
|
|
Face Detection (Q)
|
100% |
54755
650.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8746
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106070
817.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176582
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35492
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238588
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301692
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7029
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46265
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81241
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5010
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5774
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16344
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16302
281.7 IPS |
