MacBook Pro (14-inch, 2021)
Geekbench AI Score
3223
Single Precision Score
14820
Half Precision Score
14797
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jone30rw |
| Upload Date | March 07 2025 03:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1140
212.0 IPS |
|
|
Image Classification (HP)
|
100% |
6008
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5865
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8963
145.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9525
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9342
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68253
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65722
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
7035
559.6 IPS |
|
|
Object Detection (Q)
|
91% |
6710
536.2 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
14088
167.4 IPS |
|
|
Face Detection (Q)
|
100% |
13218
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5049
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47992
369.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
50075
391.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19406
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116594
149.9 IPS |
|
|
Style Transfer (Q)
|
96% |
112901
145.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23874
881.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25638
946.7 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3184
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3349
57.9 IPS |
