MacBook Pro (14-inch, 2024)
Geekbench AI Score
5767
Single Precision Score
38073
Half Precision Score
50935
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | February 21 2025 04:41 PM |
| Views | 14 |
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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
18945
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
23564
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23315
377.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33416
541.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18864
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124042
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233887
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
21380
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
25366
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44909
533.6 IPS |
|
|
Face Detection (Q)
|
100% |
59774
710.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8688
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
112294
865.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
181704
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35678
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239624
308.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304533
393.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7039
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47766
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83533
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5488
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17250
297.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16547
285.9 IPS |
