MacBook Pro (14-inch, 2021)
Geekbench AI Score
3787
Single Precision Score
15530
Half Precision Score
15382
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 01:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
6133
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5786
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9147
148.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9746
158.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11052
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69411
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65601
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7263
577.8 IPS |
|
|
Object Detection (Q)
|
91% |
6461
516.3 IPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
12152
144.4 IPS |
|
|
Face Detection (Q)
|
100% |
12347
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44946
346.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46894
366.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23018
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117662
151.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111870
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24749
913.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25725
949.9 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4626
79.9 IPS |
