MacBook Pro (14-inch, 2024)
Geekbench AI Score
5703
Single Precision Score
36356
Half Precision Score
50466
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | johnclayton |
| Upload Date | January 09 2025 11:16 PM |
| Views | 8 |
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 | 4.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
18182
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24271
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23208
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32541
527.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18693
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123682
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230452
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
19453
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
24103
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
40166
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
63406
753.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108397
835.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
166312
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
35598
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236513
304.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301436
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43573
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83749
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5262
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5627
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16831
289.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16890
291.9 IPS |
