MacBook Pro (14-inch, 2021)
Geekbench AI Score
3616
Single Precision Score
15549
Half Precision Score
15434
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 01:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6296
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6008
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9385
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10043
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11162
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70890
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67052
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.4 IPS |
|
|
Object Detection (HP)
|
99% |
7380
587.0 IPS |
|
|
Object Detection (Q)
|
91% |
6946
555.0 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
14496
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
14135
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5870
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50427
388.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
51218
400.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22515
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120644
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116381
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4394
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24131
891.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25479
940.8 IPS |
|
|
Text Classification (SP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3644
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3491
60.3 IPS |
