MacBook Pro (14-inch, 2021)
Geekbench AI Score
3762
Single Precision Score
5718
Half Precision Score
4696
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tss6147 |
| Upload Date | February 01 2025 10:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (Q)
|
96% |
1487
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11333
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22454
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17010
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2349
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5286
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3134
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5970
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10909
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7435
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34574
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25497
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6203
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4000
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3123
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4863
84.0 IPS |
