MacBook Pro (14-inch, 2023)
Geekbench AI Score
11225
Single Precision Score
12221
Half Precision Score
10545
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5347
994.4 IPS |
|
|
Image Classification (HP)
|
100% |
5585
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4796
894.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8052
130.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8077
130.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8103
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45006
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47549
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44183
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5005
397.0 IPS |
|
|
Object Detection (HP)
|
100% |
5187
411.5 IPS |
|
|
Object Detection (Q)
|
91% |
4329
345.9 IPS |
|
|
Face Detection (SP)
|
100% |
18202
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
19355
230.0 IPS |
|
|
Face Detection (Q)
|
100% |
13580
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25796
198.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27377
210.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
22272
174.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80215
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85719
110.2 IPS |
|
|
Style Transfer (Q)
|
96% |
80000
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17802
657.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18318
676.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15097
557.5 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1572
27.2 IPS |
