MacBook Pro (14-inch, 2021)
Geekbench AI Score
3807
Single Precision Score
5900
Half Precision Score
4757
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 27 2025 03:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11112
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22371
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16947
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2370
188.7 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
5446
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6030
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10872
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7429
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22411
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35607
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26383
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6417
236.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3540
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4984
86.1 IPS |
