MacBook Pro (14-inch, 2024)
Geekbench AI Score
5956
Single Precision Score
36014
Half Precision Score
48075
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | February 01 2025 10:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
16737
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
22358
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22732
368.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31041
503.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19171
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122888
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230280
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
18835
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
23147
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
43935
522.0 IPS |
|
|
Face Detection (Q)
|
100% |
62289
740.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9080
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108975
839.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178176
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37195
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232254
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296158
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7192
265.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44527
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76374
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5291
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4468
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15914
274.1 IPS |
|
|
Machine Translation (Q)
|
98% |
15894
274.7 IPS |
