MacBook Pro (14-inch, 2023)
Geekbench AI Score
4145
Single Precision Score
6676
Half Precision Score
5703
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 17 2024 07:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2237
416.0 IPS |
|
|
Image Classification (Q)
|
99% |
2237
417.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12710
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24489
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18522
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3423
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6314
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12302
95.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
12295
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25020
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39162
50.3 IPS |
|
|
Style Transfer (Q)
|
100% |
39391
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5204
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6862
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4332
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6107
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6402
110.6 IPS |
