MacBook Pro (14-inch, 2024)
Geekbench AI Score
5715
Single Precision Score
37953
Half Precision Score
51554
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 23 2025 03:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
18036
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24092
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23260
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33526
543.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18732
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124589
145.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
228101
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
21439
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
25289
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4410
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
44244
525.7 IPS |
|
|
Face Detection (Q)
|
100% |
60250
715.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8457
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113565
874.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179173
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35907
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236896
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
310157
400.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47460
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81961
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6058
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5611
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16722
288.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17123
295.9 IPS |
