MacBook Pro (14-inch, 2021)
Geekbench AI Score
3717
Single Precision Score
5896
Half Precision Score
4728
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 20 2025 06:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2586
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10963
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21662
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17295
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1687
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
2975
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9878
76.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7188
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22666
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34937
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27773
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4244
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5061
87.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5069
87.6 IPS |
