MacBook Pro (14-inch, 2021)
Geekbench AI Score
3547
Single Precision Score
5620
Half Precision Score
4566
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (Q)
|
96% |
1424
266.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10532
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21255
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16650
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2216
176.4 IPS |
|
|
Object Detection (Q)
|
94% |
1653
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
2965
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9726
75.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6882
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21526
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31586
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26339
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3973
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3850
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4681
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4879
84.3 IPS |
