MacBook Pro (14-inch, 2021)
Geekbench AI Score
3693
Single Precision Score
5883
Half Precision Score
4693
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | piotrga |
| Upload Date | June 08 2025 09:26 AM |
| Views | 7 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.4 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10984
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21984
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17167
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2300
183.1 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3041
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10187
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7093
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21761
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33319
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26370
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4921
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4866
84.1 IPS |
