MacBook Pro (14-inch, 2021)
Geekbench AI Score
3675
Single Precision Score
16440
Half Precision Score
16193
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | piotrga |
| Upload Date | June 08 2025 09:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
6846
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6694
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9636
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10445
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71288
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67946
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
7951
632.5 IPS |
|
|
Object Detection (Q)
|
91% |
7507
599.8 IPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
13134
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51616
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53413
417.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22157
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121438
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115864
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4383
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25710
949.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28271
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3790
65.5 IPS |
