MacBook Air (15-inch, 2023)
Geekbench AI Score
6502
Single Precision Score
7289
Half Precision Score
6465
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 25 2024 01:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3631
675.2 IPS |
|
|
Image Classification (HP)
|
100% |
3599
669.2 IPS |
|
|
Image Classification (Q)
|
97% |
3031
565.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4039
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5003
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5071
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24351
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26015
30.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24296
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3386
268.5 IPS |
|
|
Object Detection (Q)
|
91% |
2986
238.6 IPS |
|
|
Face Detection (SP)
|
100% |
9811
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
10732
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
8310
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16413
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17191
132.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14567
113.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42038
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48376
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45209
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9649
356.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9978
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7933
292.9 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
