MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8438
Single Precision Score
10096
Half Precision Score
8867
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | August 18 2024 01:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5119
951.9 IPS |
|
|
Image Classification (HP)
|
100% |
5496
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4762
888.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7038
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8303
134.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
8111
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34834
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36782
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33445
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
5330
422.8 IPS |
|
|
Object Detection (HP)
|
100% |
5585
443.0 IPS |
|
|
Object Detection (Q)
|
92% |
4429
353.5 IPS |
|
|
Face Detection (SP)
|
100% |
15116
179.6 IPS |
|
|
Face Detection (HP)
|
100% |
17994
213.8 IPS |
|
|
Face Detection (Q)
|
100% |
12934
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22833
175.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24836
191.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
24705
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
77154
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86386
111.1 IPS |
|
|
Style Transfer (Q)
|
100% |
85250
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13738
507.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14860
548.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10947
405.6 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.6 IPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
93% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2007
34.7 IPS |
