MacBook Pro (14-inch, 2021)
Geekbench AI Score
3745
Single Precision Score
15691
Half Precision Score
15624
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Halbbyte |
| Upload Date | January 02 2025 01:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
6323
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6172
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9396
152.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10062
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11261
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69093
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65064
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7539
599.7 IPS |
|
|
Object Detection (Q)
|
91% |
7012
560.3 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
14824
176.1 IPS |
|
|
Face Detection (Q)
|
100% |
13830
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5933
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49500
381.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
51909
405.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22358
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118570
152.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114995
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25781
952.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27870
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3381
58.4 IPS |
