MacBook Pro (14-inch, 2023)
Geekbench AI Score
3159
Single Precision Score
4723
Half Precision Score
3919
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | August 15 2024 06:20 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1464
272.3 IPS |
|
|
Image Classification (HP)
|
100% |
1837
341.7 IPS |
|
|
Image Classification (Q)
|
99% |
1822
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1285
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
14832
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12604
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2217
176.5 IPS |
|
|
Object Detection (Q)
|
94% |
1692
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2878
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5518
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8602
66.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4122
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16915
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26684
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26653
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4731
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3604
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3335
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4461
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4507
77.9 IPS |
