MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4178
Single Precision Score
31897
Half Precision Score
36460
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jeeerim |
| Upload Date | December 05 2024 05:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
16353
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19362
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21774
353.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27846
451.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121843
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120205
140.9 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
17340
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19928
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
38650
459.2 IPS |
|
|
Face Detection (Q)
|
100% |
50513
600.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7272
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97097
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121101
946.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226766
291.5 IPS |
|
|
Style Transfer (Q)
|
96% |
219566
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44357
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54695
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4899
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4954
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7837
135.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8832
152.6 IPS |
